Weekly ranking, Technology

Build Your Own Reasoning Model: A Full Video Course

Sebastian Raschka, PhD, magazine.sebastianraschka.com, Technology

A promotional course outline listing which reasoning-model techniques are coded on Qwen3 0.6B, with a few specific design notes.

What it adds

Mainly an announcement describing course contents; value lies in concrete curriculum details like verifier reuse, correctness-conditioned format rewards, and KL/clipping ablations.

Claim by claim

• 5 the author's own
• 3 an AI would say
• 0 known elsewhere
• 8 common knowledge

Its strongest original claims

• The course consists of eight coding videos totaling 11 hours.
• The course starts from a pre-trained Qwen3 0.6B model to focus on evaluation, inference scaling, RL and distillation.
• A math-answer verifier is used both for MATH-500 evaluation and as the reward signal for RLVR.
• The course examines whether clipped policy ratios and KL loss terms help, and the limits of a simplified KL formulation.
• Format rewards are conditioned on answer correctness.

Scored by Expulp Verdict for what the piece adds beyond what is already known and published. The full verdict shows every claim with its reasons. Leaderboard, what Verdict gets right and where it is weak.